Privacy and personalisation: predicting Parkinson’s disease severity from real-world gait with federated learning

IntroductionCloud-based artificial intelligence (AI) combined with smart-health technology presents a powerful tool to passively monitor disease severity. However, current methods raise privacy concerns as they require transmitting patient data to the cloud. A potential solution is Federated Learnin...

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Bibliografiset tiedot

Päätekijät:	Chloe Hinchliffe, Hugo Hiden, Lisa Alcock, Rachael A. Lawson, Alison J. Yarnall, Lynn Rochester, Silvia Del Din, Paul Watson
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Frontiers Media S.A. 2026-03-01
Sarja:	Frontiers in Aging Neuroscience
Aiheet:	digital wearables edge device explainable AI federated learning gait IMUs
Linkit:	https://www.frontiersin.org/articles/10.3389/fnagi.2026.1766599/full
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